Results 41 to 50 of about 142,696 (248)

WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding

open access: yesConnection Science, 2022
The word embedding model word2vec tends to ignore the importance of a single word to the entire document, which affects the accuracy of the news text classification method.
Weidong Zhao   +4 more
doaj   +1 more source

Investigating Verbal Intelligence Using the TF-IDF Approach

open access: yesProceedings of the Language Resources and Evaluation Conference, 2012
In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers.
Zablotskaya, Kseniya   +2 more
openaire   +3 more sources

TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM

open access: yes, 2023
This study utilized a randomly selected set of 10 news articles from the BBC dataset, which includes both the news content and their summaries. A comparative analysis of the TF/IDF and TF/IDF-TextRank algorithms was conducted on these data.
Uçkan, Taner, Özgüner, Özge
core  

Probabilistic retrieval models - relationships, context-specific application, selection and implementation [PDF]

open access: yes, 2011
PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core   +2 more sources

Hot Topic Detection Based on a Refined TF-IDF Algorithm

open access: yesIEEE Access, 2019
In this paper, we propose a refined term frequency inversed document frequency (TF-IDF) algorithm called TA TF-IDF to find hot terms, based on time distribution information and user attention.
Zhiliang Zhu   +4 more
doaj   +1 more source

Charting Endocrine Progenitors Across Species and Organs

open access: yesAdvanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing   +21 more
wiley   +1 more source

Product Codefication Accuracy With Cosine Similarity And Weighted Term Frequency And Inverse Document Frequency (TF-IDF)

open access: yesJournal of Applied Engineering and Technological Science, 2021
In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method
Sintia Sintia   +2 more
doaj   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

open access: yesAdvanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin   +4 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

Analisis Perbandingan Metode Pembobotan Kata Delta TF-IDF dan TF-IDF Terhadap Performansi Analisis Sentimen [PDF]

open access: yes, 2019
Metode ekstraksi fitur yang umum digunakan untuk analisis sentimen yaitu pembobotan kata TF-IDF. Namun, metode TF-IDF memiliki kekurangan dalam menentukan pembobotan untuk analisis sentimen karena tidak dapat memberikan bobot yang berbeda terhadap kata ...
RIAN ADY RAIHANDIWAN
core  

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